Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/55525
Title: A Framework for Optimizing Breeding Pairs Using Artificial Intelligence - Dataset
Contributor(s): Loh, Zhi Kang  (creator); Van Der Werf, Julius  (supervisor)orcid ; Clark, Samuel  (supervisor)orcid 
Publication Date: 2022-10-25
DOI: 10.25952/579f-5197
Handle Link: https://hdl.handle.net/1959.11/55525
Related Research Outputs: https://hdl.handle.net/1959.11/55524
Abstract/Context: This dataset consists of scripts developed for the research project A Framework for Optimizing Breeding Pairs Using Artificial Intelligence. The scripts are for simulations (in .py format) for each of the chapters, along with results (in .py or .xlsx format). These data and results were generated through simulations, and all results and metadata can be obtained by running the simulation scripts. The scripts have been organized based on chapters, and are simulation scripts that become the basis of this research. Raw metadata from which the results reported in the thesis were based upon can be requested on demand.
Publication Type: Dataset
Fields of Research (FOR): 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics)
010402 Biostatistics
Fields of Research (FoR) 2020: 310207 Statistical and quantitative genetics
Socio-Economic Objective (SEO): 830399 Livestock Raising not elsewhere classified
970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
970101 Expanding Knowledge in the Mathematical Sciences
Socio-Economic Objective (SEO) 2020: 100499 Livestock raising not elsewhere classified
280101 Expanding knowledge in the agricultural, food and veterinary sciences
280118 Expanding knowledge in the mathematical sciences
Keywords: Breeding Pair Optimization
Genome-Wide Association Study
False Positive Rate
Power
Non-Additive Genetics
Location: Armidale, New South Wales, Australia
HERDC Category Description: X Dataset
Project: A Framework for Optimizing Breeding Pairs Using Artificial Intelligence
Dataset Managed By: Zhi Kang Loh
Rights Holder: Zhi Kang Loh
Dataset Stored at: University of New England
Primary Contact Details: Zhi Kang Loh - lzk995m@gmail.com
Dataset Custodian Details: Zhi Kang Loh - lzk995m@gmail.com
Appears in Collections:Dataset
School of Environmental and Rural Science

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